Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	5008
Missing cells	9462
Missing cells (%)	9.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.0 MiB
Average record size in memory	1.0 KiB

Variable types

DateTime	1
Unsupported	1
Categorical	10
Numeric	8

Alerts

`Location` has a high cardinality: 4124 distinct values	High cardinality
`Operator` has a high cardinality: 2267 distinct values	High cardinality
`flight_no` has a high cardinality: 892 distinct values	High cardinality
`Route` has a high cardinality: 3838 distinct values	High cardinality
`Ac Type` has a high cardinality: 2468 distinct values	High cardinality
`Registration` has a high cardinality: 4700 distinct values	High cardinality
`cn_ln` has a high cardinality: 3907 distinct values	High cardinality
`Summary` has a high cardinality: 4857 distinct values	High cardinality
`Country` has a high cardinality: 486 distinct values	High cardinality
`All Aboard` is highly overall correlated with `Passengers Board` and 3 other fields	High correlation
`Passengers Board` is highly overall correlated with `All Aboard` and 3 other fields	High correlation
`Crew Board` is highly overall correlated with `All Aboard` and 3 other fields	High correlation
`All Fatalities` is highly overall correlated with `All Aboard` and 4 other fields	High correlation
`Passenger Fatalities` is highly overall correlated with `All Aboard` and 2 other fields	High correlation
`Crew fatalities` is highly overall correlated with `Crew Board` and 1 other fields	High correlation
`Time` has 1504 (30.0%) missing values	Missing
`flight_no` has 3682 (73.5%) missing values	Missing
`Route` has 762 (15.2%) missing values	Missing
`Registration` has 272 (5.4%) missing values	Missing
`cn_ln` has 667 (13.3%) missing values	Missing
`Passengers Board` has 221 (4.4%) missing values	Missing
`Crew Board` has 219 (4.4%) missing values	Missing
`Passenger Fatalities` has 235 (4.7%) missing values	Missing
`Crew fatalities` has 235 (4.7%) missing values	Missing
`Summary` has 59 (1.2%) missing values	Missing
`Hour` has 1504 (30.0%) missing values	Missing
`Ground` is highly skewed (γ1 = 48.98678629)	Skewed
`Location` is uniformly distributed	Uniform
`Registration` is uniformly distributed	Uniform
`cn_ln` is uniformly distributed	Uniform
`Summary` is uniformly distributed	Uniform
`Time` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Passengers Board` has 869 (17.4%) zeros	Zeros
`All Fatalities` has 76 (1.5%) zeros	Zeros
`Passenger Fatalities` has 1040 (20.8%) zeros	Zeros
`Crew fatalities` has 400 (8.0%) zeros	Zeros
`Ground` has 4716 (94.2%) zeros	Zeros
`Hour` has 74 (1.5%) zeros	Zeros

Reproduction

Analysis started	2023-05-22 15:51:13.313380
Analysis finished	2023-05-22 15:51:24.783185
Duration	11.47 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Date
Date

Distinct	4577
Distinct (%)	91.4%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Minimum	1908-09-17 00:00:00
Maximum	2021-07-06 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Time
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	1504
Missing (%)	30.0%
Memory size	250.4 KiB

Location
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4124
Distinct (%)	82.4%
Missing	5
Missing (%)	0.1%
Memory size	420.3 KiB

Moscow, Russia	16
Manila, Philippines	15
New York, New York	14
Sao Paulo, Brazil	13
Cairo, Egypt	13
Other values (4119)	4932

Length

Max length	72
Median length	49
Mean length	20.812712
Min length	5

Characters and Unicode

Total characters	104126
Distinct characters	90
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3687 ?
Unique (%)	73.7%

Sample

1st row	Fort Myer, Virginia
2nd row	Juvisy-sur-Orge, France
3rd row	Atlantic City, New Jersey
4th row	Victoria, British Columbia, Canada
5th row	Over the North Sea

Common Values

Value	Count	Frequency (%)
Moscow, Russia	16	0.3%
Manila, Philippines	15	0.3%
New York, New York	14	0.3%
Sao Paulo, Brazil	13	0.3%
Cairo, Egypt	13	0.3%
Bogota, Colombia	12	0.2%
Rio de Janeiro, Brazil	12	0.2%
Near Moscow, Russia	11	0.2%
Chicago, Illinois	11	0.2%
Tehran, Iran	10	0.2%
Other values (4114)	4876	97.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
near	1350	9.2%
off	350	2.4%
russia	255	1.7%
new	229	1.6%
brazil	176	1.2%
colombia	153	1.0%
canada	131	0.9%
france	127	0.9%
california	117	0.8%
mexico	113	0.8%
Other values (4153)	11652	79.5%

Most occurring characters

Value	Count	Frequency (%)
a	13037	12.5%
	9703	9.3%
e	7073	6.8%
i	6567	6.3%
n	6545	6.3%
r	6035	5.8%
o	5367	5.2%
,	5210	5.0%
l	4000	3.8%
s	3530	3.4%
Other values (80)	37059	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	74113	71.2%
Uppercase Letter	14738	14.2%
Space Separator	9704	9.3%
Other Punctuation	5357	5.1%
Dash Punctuation	105	0.1%
Decimal Number	66	0.1%
Control	21	< 0.1%
Close Punctuation	11	< 0.1%
Open Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13037	17.6%
e	7073	9.5%
i	6567	8.9%
n	6545	8.8%
r	6035	8.1%
o	5367	7.2%
l	4000	5.4%
s	3530	4.8%
t	3112	4.2%
u	2756	3.7%
Other values (31)	16091	21.7%

Uppercase Letter

Value	Count	Frequency (%)
N	2032	13.8%
C	1456	9.9%
S	1145	7.8%
M	999	6.8%
B	952	6.5%
A	920	6.2%
P	787	5.3%
I	720	4.9%
R	652	4.4%
O	588	4.0%
Other values (17)	4487	30.4%

Decimal Number

Value	Count	Frequency (%)
0	24	36.4%
1	15	22.7%
2	9	13.6%
5	8	12.1%
8	3	4.5%
7	2	3.0%
3	2	3.0%
9	2	3.0%
6	1	1.5%

Other Punctuation

Value	Count	Frequency (%)
,	5210	97.3%
.	115	2.1%
'	24	0.4%
/	6	0.1%
&	1	< 0.1%
:	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	9703	> 99.9%
	1	< 0.1%

Control

Value	Count	Frequency (%)
	16	76.2%
	5	23.8%

Dash Punctuation

Value	Count	Frequency (%)
-	105	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88851	85.3%
Common	15275	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13037	14.7%
e	7073	8.0%
i	6567	7.4%
n	6545	7.4%
r	6035	6.8%
o	5367	6.0%
l	4000	4.5%
s	3530	4.0%
t	3112	3.5%
u	2756	3.1%
Other values (58)	30829	34.7%

Common

Value	Count	Frequency (%)
	9703	63.5%
,	5210	34.1%
.	115	0.8%
-	105	0.7%
0	24	0.2%
'	24	0.2%
	16	0.1%
1	15	0.1%
)	11	0.1%
(	11	0.1%
Other values (12)	41	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104084	> 99.9%
None	42	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13037	12.5%
	9703	9.3%
e	7073	6.8%
i	6567	6.3%
n	6545	6.3%
r	6035	5.8%
o	5367	5.2%
,	5210	5.0%
l	4000	3.8%
s	3530	3.4%
Other values (63)	37017	35.6%

None

Value	Count	Frequency (%)
é	14	33.3%
ö	5	11.9%
í	4	9.5%
ó	4	9.5%
á	2	4.8%
ï	2	4.8%
ô	1	2.4%
è	1	2.4%
à	1	2.4%
ä	1	2.4%
Other values (7)	7	16.7%

Operator
Categorical

Distinct	2267
Distinct (%)	45.4%
Missing	10
Missing (%)	0.2%
Memory size	412.5 KiB

Aeroflot	253
Military - U.S. Air Force	141
Air France	74
Deutsche Lufthansa	63
United Air Lines	44
Other values (2262)	4423

Length

Max length	65
Median length	47
Mean length	18.957583
Min length	3

Characters and Unicode

Total characters	94750
Distinct characters	87
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1734 ?
Unique (%)	34.7%

Sample

1st row	Military - U.S. Army
2nd row	Military - U.S. Navy
3rd row	Private
4th row	Military - German Navy
5th row	Military - German Navy

Common Values

Value	Count	Frequency (%)
Aeroflot	253	5.1%
Military - U.S. Air Force	141	2.8%
Air France	74	1.5%
Deutsche Lufthansa	63	1.3%
United Air Lines	44	0.9%
China National Aviation Corporation	43	0.9%
Military - U.S. Army Air Forces	43	0.9%
Pan American World Airways	41	0.8%
American Airlines	37	0.7%
US Aerial Mail Service	35	0.7%
Other values (2257)	4224	84.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
air	1481	10.3%
	961	6.7%
airlines	840	5.8%
military	778	5.4%
force	557	3.9%
airways	453	3.1%
u.s	302	2.1%
aeroflot	265	1.8%
lines	184	1.3%
royal	152	1.1%
Other values (2079)	8422	58.5%

Most occurring characters

Value	Count	Frequency (%)
i	10212	10.8%
	9421	9.9%
r	8849	9.3%
a	7786	8.2%
e	6780	7.2%
n	5528	5.8%
A	5083	5.4%
o	4380	4.6%
l	4079	4.3%
s	4000	4.2%
Other values (77)	28632	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	68181	72.0%
Uppercase Letter	15071	15.9%
Space Separator	9422	9.9%
Dash Punctuation	939	1.0%
Other Punctuation	869	0.9%
Open Punctuation	115	0.1%
Close Punctuation	115	0.1%
Decimal Number	30	< 0.1%
Control	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	10212	15.0%
r	8849	13.0%
a	7786	11.4%
e	6780	9.9%
n	5528	8.1%
o	4380	6.4%
l	4079	6.0%
s	4000	5.9%
t	3921	5.8%
c	1996	2.9%
Other values (28)	10650	15.6%

Uppercase Letter

Value	Count	Frequency (%)
A	5083	33.7%
M	1217	8.1%
S	1138	7.6%
C	910	6.0%
F	901	6.0%
T	679	4.5%
L	661	4.4%
U	534	3.5%
P	513	3.4%
N	496	3.3%
Other values (16)	2939	19.5%

Decimal Number

Value	Count	Frequency (%)
0	5	16.7%
7	4	13.3%
4	4	13.3%
2	3	10.0%
5	3	10.0%
1	3	10.0%
8	2	6.7%
6	2	6.7%
9	2	6.7%
3	2	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	718	82.6%
/	109	12.5%
'	25	2.9%
,	10	1.2%
&	6	0.7%
?	1	0.1%

Space Separator

Value	Count	Frequency (%)
	9421	> 99.9%
	1	< 0.1%

Control

Value	Count	Frequency (%)
	6	75.0%
	2	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	939	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	115	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	115	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83252	87.9%
Common	11498	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	10212	12.3%
r	8849	10.6%
a	7786	9.4%
e	6780	8.1%
n	5528	6.6%
A	5083	6.1%
o	4380	5.3%
l	4079	4.9%
s	4000	4.8%
t	3921	4.7%
Other values (54)	22634	27.2%

Common

Value	Count	Frequency (%)
	9421	81.9%
-	939	8.2%
.	718	6.2%
(	115	1.0%
)	115	1.0%
/	109	0.9%
'	25	0.2%
,	10	0.1%
	6	0.1%
&	6	0.1%
Other values (13)	34	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94627	99.9%
None	123	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	10212	10.8%
	9421	10.0%
r	8849	9.4%
a	7786	8.2%
e	6780	7.2%
n	5528	5.8%
A	5083	5.4%
o	4380	4.6%
l	4079	4.3%
s	4000	4.2%
Other values (64)	28509	30.1%

None

Value	Count	Frequency (%)
é	102	82.9%
á	5	4.1%
à	2	1.6%
í	2	1.6%
ó	2	1.6%
ç	2	1.6%
ï	2	1.6%
ã	1	0.8%
ú	1	0.8%
ê	1	0.8%
Other values (3)	3	2.4%

flight_no
Categorical

HIGH CARDINALITY MISSING

Distinct	892
Distinct (%)	67.3%
Missing	3682
Missing (%)	73.5%
Memory size	232.2 KiB

-	36
1	11
101	9
6	7
4	7
Other values (887)	1256

Length

Max length	12
Median length	3
Mean length	3.2390649
Min length	1

Characters and Unicode

Total characters	4295
Distinct characters	47
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	656 ?
Unique (%)	49.5%

Sample

1st row	F-AIKG
2nd row	7
3rd row	599
4th row	6
5th row	6

Common Values

Value	Count	Frequency (%)
-	36	0.7%
1	11	0.2%
101	9	0.2%
6	7	0.1%
4	7	0.1%
901	7	0.1%
115	6	0.1%
301	6	0.1%
201	6	0.1%
703	6	0.1%
Other values (882)	1225	24.5%
(Missing)	3682	73.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	46	3.4%
1	11	0.8%
101	10	0.7%
6	8	0.6%
4	7	0.5%
901	7	0.5%
115	6	0.4%
301	6	0.4%
201	6	0.4%
703	6	0.4%
Other values (883)	1235	91.6%

Most occurring characters

Value	Count	Frequency (%)
1	638	14.9%
0	497	11.6%
2	495	11.5%
3	417	9.7%
5	385	9.0%
4	347	8.1%
6	330	7.7%
7	316	7.4%
8	291	6.8%
9	270	6.3%
Other values (37)	309	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3986	92.8%
Uppercase Letter	156	3.6%
Dash Punctuation	87	2.0%
Other Punctuation	33	0.8%
Space Separator	22	0.5%
Lowercase Letter	11	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	21	13.5%
S	14	9.0%
H	13	8.3%
P	11	7.1%
C	10	6.4%
F	10	6.4%
U	8	5.1%
R	7	4.5%
I	7	4.5%
L	7	4.5%
Other values (15)	48	30.8%

Decimal Number

Value	Count	Frequency (%)
1	638	16.0%
0	497	12.5%
2	495	12.4%
3	417	10.5%
5	385	9.7%
4	347	8.7%
6	330	8.3%
7	316	7.9%
8	291	7.3%
9	270	6.8%

Lowercase Letter

Value	Count	Frequency (%)
r	2	18.2%
a	2	18.2%
n	2	18.2%
y	1	9.1%
h	1	9.1%
t	1	9.1%
e	1	9.1%
o	1	9.1%

Other Punctuation

Value	Count	Frequency (%)
/	32	97.0%
?	1	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	87	100.0%

Space Separator

Value	Count	Frequency (%)
	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4128	96.1%
Latin	167	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	21	12.6%
S	14	8.4%
H	13	7.8%
P	11	6.6%
C	10	6.0%
F	10	6.0%
U	8	4.8%
R	7	4.2%
I	7	4.2%
L	7	4.2%
Other values (23)	59	35.3%

Common

Value	Count	Frequency (%)
1	638	15.5%
0	497	12.0%
2	495	12.0%
3	417	10.1%
5	385	9.3%
4	347	8.4%
6	330	8.0%
7	316	7.7%
8	291	7.0%
9	270	6.5%
Other values (4)	142	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4295	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	638	14.9%
0	497	11.6%
2	495	11.5%
3	417	9.7%
5	385	9.0%
4	347	8.1%
6	330	7.7%
7	316	7.4%
8	291	6.8%
9	270	6.3%
Other values (37)	309	7.2%

Route
Categorical

HIGH CARDINALITY MISSING

Distinct	3838
Distinct (%)	90.4%
Missing	762
Missing (%)	15.2%
Memory size	394.0 KiB

Training	96
Sightseeing	31
Test flight	23
Sao Paulo - Rio de Janeiro	7
Test	6
Other values (3833)	4083

Length

Max length	59
Median length	51
Mean length	22.166039
Min length	4

Characters and Unicode

Total characters	94117
Distinct characters	92
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3631 ?
Unique (%)	85.5%

Sample

1st row	Demonstration
2nd row	Air show
3rd row	Test flight
4th row	Shuttle
5th row	Venice Taliedo

Common Values

Value	Count	Frequency (%)
Training	96	1.9%
Sightseeing	31	0.6%
Test flight	23	0.5%
Sao Paulo - Rio de Janeiro	7	0.1%
Test	6	0.1%
Rio de Janeiro - Sao Paulo	5	0.1%
Huambo - Luanda	4	0.1%
Paris - London	4	0.1%
Barranquilla - Bogota	4	0.1%
Croydon - Paris	4	0.1%
Other values (3828)	4062	81.1%
(Missing)	762	15.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	4633	27.5%
city	213	1.3%
new	149	0.9%
san	140	0.8%
york	117	0.7%
paris	116	0.7%
training	103	0.6%
de	101	0.6%
london	88	0.5%
moscow	84	0.5%
Other values (3628)	11083	65.9%

Most occurring characters

Value	Count	Frequency (%)
	12646	13.4%
a	9833	10.4%
n	5569	5.9%
o	5504	5.8%
i	5244	5.6%
e	5108	5.4%
-	4927	5.2%
r	4487	4.8%
l	3420	3.6%
s	3075	3.3%
Other values (82)	34304	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	62477	66.4%
Uppercase Letter	12942	13.8%
Space Separator	12647	13.4%
Dash Punctuation	4931	5.2%
Other Punctuation	1065	1.1%
Control	30	< 0.1%
Decimal Number	16	< 0.1%
Final Punctuation	4	< 0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9833	15.7%
n	5569	8.9%
o	5504	8.8%
i	5244	8.4%
e	5108	8.2%
r	4487	7.2%
l	3420	5.5%
s	3075	4.9%
t	3006	4.8%
u	2566	4.1%
Other values (30)	14665	23.5%

Uppercase Letter

Value	Count	Frequency (%)
C	1232	9.5%
B	1140	8.8%
S	1081	8.4%
A	1046	8.1%
M	1042	8.1%
P	823	6.4%
L	788	6.1%
T	710	5.5%
K	640	4.9%
N	631	4.9%
Other values (18)	3809	29.4%

Decimal Number

Value	Count	Frequency (%)
9	3	18.8%
4	3	18.8%
1	3	18.8%
7	2	12.5%
2	2	12.5%
8	1	6.2%
6	1	6.2%
0	1	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	915	85.9%
.	98	9.2%
/	20	1.9%
'	20	1.9%
?	6	0.6%
:	5	0.5%
\	1	0.1%

Space Separator

Value	Count	Frequency (%)
	12646	> 99.9%
	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	4927	99.9%
–	4	0.1%

Control

Value	Count	Frequency (%)
	29	96.7%
	1	3.3%

Final Punctuation

Value	Count	Frequency (%)
’	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	75419	80.1%
Common	18698	19.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9833	13.0%
n	5569	7.4%
o	5504	7.3%
i	5244	7.0%
e	5108	6.8%
r	4487	5.9%
l	3420	4.5%
s	3075	4.1%
t	3006	4.0%
u	2566	3.4%
Other values (58)	27607	36.6%

Common

Value	Count	Frequency (%)
	12646	67.6%
-	4927	26.4%
,	915	4.9%
.	98	0.5%
	29	0.2%
/	20	0.1%
'	20	0.1%
?	6	< 0.1%
:	5	< 0.1%
’	4	< 0.1%
Other values (14)	28	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	93988	99.9%
None	121	0.1%
Punctuation	8	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12646	13.5%
a	9833	10.5%
n	5569	5.9%
o	5504	5.9%
i	5244	5.6%
e	5108	5.4%
-	4927	5.2%
r	4487	4.8%
l	3420	3.6%
s	3075	3.3%
Other values (63)	34175	36.4%

None

Value	Count	Frequency (%)
é	38	31.4%
í	21	17.4%
á	15	12.4%
ó	14	11.6%
ã	6	5.0%
ü	6	5.0%
ç	4	3.3%
è	4	3.3%
Î	3	2.5%
ö	2	1.7%
Other values (7)	8	6.6%

Punctuation

Value	Count	Frequency (%)
’	4	50.0%
–	4	50.0%

Ac Type
Categorical

Distinct	2468
Distinct (%)	49.4%
Missing	13
Missing (%)	0.3%
Memory size	408.4 KiB

Douglas DC-3	333
de Havilland Canada DHC-6 Twin Otter 300	81
Douglas C-47A	70
Douglas C-47	64
Douglas DC-4	41
Other values (2463)	4406

Length

Max length	42
Median length	36
Mean length	18.541542
Min length	4

Characters and Unicode

Total characters	92615
Distinct characters	77
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1863 ?
Unique (%)	37.3%

Sample

1st row	Wright Flyer III
2nd row	Wright Byplane
3rd row	Dirigible
4th row	Curtiss seaplane
5th row	Zeppelin L-1 (airship)

Common Values

Value	Count	Frequency (%)
Douglas DC-3	333	6.6%
de Havilland Canada DHC-6 Twin Otter 300	81	1.6%
Douglas C-47A	70	1.4%
Douglas C-47	64	1.3%
Douglas DC-4	41	0.8%
Antonov AN-26	35	0.7%
Yakovlev YAK-40	35	0.7%
Junkers JU-52/3m	30	0.6%
De Havilland DH-4	27	0.5%
Douglas C-47B	27	0.5%
Other values (2458)	4252	84.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
douglas	1130	8.3%
boeing	418	3.1%
dc-3	387	2.8%
lockheed	332	2.4%
de	294	2.2%
havilland	292	2.1%
antonov	288	2.1%
canada	159	1.2%
otter	146	1.1%
ilyushin	142	1.0%
Other values (2525)	10025	73.6%

Most occurring characters

Value	Count	Frequency (%)
	8649	9.3%
-	5180	5.6%
e	4842	5.2%
o	4638	5.0%
a	4636	5.0%
n	3856	4.2%
l	3696	4.0%
i	3486	3.8%
r	3306	3.6%
C	3034	3.3%
Other values (67)	47292	51.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46427	50.1%
Uppercase Letter	17900	19.3%
Decimal Number	13808	14.9%
Space Separator	8650	9.3%
Dash Punctuation	5180	5.6%
Other Punctuation	264	0.3%
Open Punctuation	190	0.2%
Close Punctuation	189	0.2%
Math Symbol	3	< 0.1%
Control	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4842	10.4%
o	4638	10.0%
a	4636	10.0%
n	3856	8.3%
l	3696	8.0%
i	3486	7.5%
r	3306	7.1%
s	2917	6.3%
t	2357	5.1%
u	2217	4.8%
Other values (18)	10476	22.6%

Uppercase Letter

Value	Count	Frequency (%)
C	3034	16.9%
D	2819	15.7%
A	1901	10.6%
B	1728	9.7%
H	1016	5.7%
L	883	4.9%
F	796	4.4%
S	790	4.4%
I	642	3.6%
T	620	3.5%
Other values (16)	3671	20.5%

Decimal Number

Value	Count	Frequency (%)
2	2167	15.7%
0	2103	15.2%
1	2017	14.6%
3	1706	12.4%
4	1704	12.3%
7	1494	10.8%
6	875	6.3%
5	713	5.2%
8	664	4.8%
9	365	2.6%

Other Punctuation

Value	Count	Frequency (%)
/	185	70.1%
.	76	28.8%
,	2	0.8%
&	1	0.4%

Space Separator

Value	Count	Frequency (%)
	8649	> 99.9%
	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	5180	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	190	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	189	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64327	69.5%
Common	28288	30.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4842	7.5%
o	4638	7.2%
a	4636	7.2%
n	3856	6.0%
l	3696	5.7%
i	3486	5.4%
r	3306	5.1%
C	3034	4.7%
s	2917	4.5%
D	2819	4.4%
Other values (44)	27097	42.1%

Common

Value	Count	Frequency (%)
	8649	30.6%
-	5180	18.3%
2	2167	7.7%
0	2103	7.4%
1	2017	7.1%
3	1706	6.0%
4	1704	6.0%
7	1494	5.3%
6	875	3.1%
5	713	2.5%
Other values (13)	1680	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92596	> 99.9%
None	17	< 0.1%
Punctuation	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8649	9.3%
-	5180	5.6%
e	4842	5.2%
o	4638	5.0%
a	4636	5.0%
n	3856	4.2%
l	3696	4.0%
i	3486	3.8%
r	3306	3.6%
C	3034	3.3%
Other values (62)	47273	51.1%

None

Value	Count	Frequency (%)
é	12	70.6%
è	4	23.5%
	1	5.9%

Punctuation

Value	Count	Frequency (%)
‘	1	50.0%
’	1	50.0%

Registration
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	4700
Distinct (%)	99.2%
Missing	272
Missing (%)	5.4%
Memory size	341.3 KiB

49	3
SU-AFK	2
2	2
19	2
CCCP-45012	2
Other values (4695)	4725

Length

Max length	15
Median length	6
Mean length	6.4940878
Min length	1

Characters and Unicode

Total characters	30756
Distinct characters	49
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4665 ?
Unique (%)	98.5%

Sample

1st row	SC1
2nd row	L-48
3rd row	97
4th row	61
5th row	82

Common Values

Value	Count	Frequency (%)
49	3	0.1%
SU-AFK	2	< 0.1%
2	2	< 0.1%
19	2	< 0.1%
CCCP-45012	2	< 0.1%
101	2	< 0.1%
G-ADUZ	2	< 0.1%
VH-ABB	2	< 0.1%
OK-MCT	2	< 0.1%
I-BAUS	2	< 0.1%
Other values (4690)	4715	94.1%
(Missing)	272	5.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	39	0.8%
hk	4	0.1%
49	3	0.1%
cccp	2	< 0.1%
82	2	< 0.1%
53	2	< 0.1%
cf-tcl	2	< 0.1%
12406	2	< 0.1%
f-bbdm	2	< 0.1%
204	2	< 0.1%
Other values (4732)	4772	98.8%

Most occurring characters

Value	Count	Frequency (%)
-	3497	11.4%
C	2022	6.6%
A	1711	5.6%
1	1541	5.0%
N	1432	4.7%
2	1246	4.1%
P	1193	3.9%
4	1187	3.9%
5	1132	3.7%
0	1098	3.6%
Other values (39)	14697	47.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15946	51.8%
Decimal Number	11081	36.0%
Dash Punctuation	3497	11.4%
Other Punctuation	119	0.4%
Space Separator	90	0.3%
Control	12	< 0.1%
Lowercase Letter	10	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	2022	12.7%
A	1711	10.7%
N	1432	9.0%
P	1193	7.5%
B	718	4.5%
F	690	4.3%
H	636	4.0%
T	611	3.8%
E	560	3.5%
G	559	3.5%
Other values (16)	5814	36.5%

Decimal Number

Value	Count	Frequency (%)
1	1541	13.9%
2	1246	11.2%
4	1187	10.7%
5	1132	10.2%
0	1098	9.9%
3	1037	9.4%
6	1026	9.3%
7	1015	9.2%
8	912	8.2%
9	887	8.0%

Lowercase Letter

Value	Count	Frequency (%)
l	5	50.0%
y	1	10.0%
e	1	10.0%
o	1	10.0%
w	1	10.0%
d	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
/	114	95.8%
?	5	4.2%

Control

Value	Count	Frequency (%)
	10	83.3%
	2	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	3497	100.0%

Space Separator

Value	Count	Frequency (%)
	90	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15956	51.9%
Common	14800	48.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	2022	12.7%
A	1711	10.7%
N	1432	9.0%
P	1193	7.5%
B	718	4.5%
F	690	4.3%
H	636	4.0%
T	611	3.8%
E	560	3.5%
G	559	3.5%
Other values (22)	5824	36.5%

Common

Value	Count	Frequency (%)
-	3497	23.6%
1	1541	10.4%
2	1246	8.4%
4	1187	8.0%
5	1132	7.6%
0	1098	7.4%
3	1037	7.0%
6	1026	6.9%
7	1015	6.9%
8	912	6.2%
Other values (7)	1109	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30756	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	3497	11.4%
C	2022	6.6%
A	1711	5.6%
1	1541	5.0%
N	1432	4.7%
2	1246	4.1%
P	1193	3.9%
4	1187	3.9%
5	1132	3.7%
0	1098	3.6%
Other values (39)	14697	47.8%

cn_ln
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	3907
Distinct (%)	90.0%
Missing	667
Missing (%)	13.3%
Memory size	325.0 KiB

1	8
4	8
125	7
229	6
178	5
Other values (3902)	4307

Length

Max length	22
Median length	19
Mean length	5.5268371
Min length	1

Characters and Unicode

Total characters	23992
Distinct characters	44
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3608 ?
Unique (%)	83.1%

Sample

1st row	1
2nd row	77
3rd row	31
4th row	20
5th row	178

Common Values

Value	Count	Frequency (%)
1	8	0.2%
4	8	0.2%
125	7	0.1%
229	6	0.1%
178	5	0.1%
3	5	0.1%
160	5	0.1%
303	5	0.1%
213	5	0.1%
2	5	0.1%
Other values (3897)	4282	85.5%
(Missing)	667	13.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	57	1.3%
1	10	0.2%
4	9	0.2%
3	7	0.2%
30	7	0.2%
125	7	0.2%
229	6	0.1%
160	5	0.1%
303	5	0.1%
213	5	0.1%
Other values (3928)	4359	97.4%

Most occurring characters

Value	Count	Frequency (%)
1	3485	14.5%
0	3141	13.1%
2	2641	11.0%
4	2366	9.9%
3	2343	9.8%
5	1861	7.8%
6	1593	6.6%
9	1582	6.6%
7	1577	6.6%
8	1537	6.4%
Other values (34)	1866	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22126	92.2%
Other Punctuation	713	3.0%
Uppercase Letter	582	2.4%
Dash Punctuation	430	1.8%
Space Separator	136	0.6%
Control	3	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	125	21.5%
B	65	11.2%
C	62	10.7%
S	55	9.5%
T	45	7.7%
H	32	5.5%
U	26	4.5%
N	20	3.4%
G	20	3.4%
D	17	2.9%
Other values (14)	115	19.8%

Decimal Number

Value	Count	Frequency (%)
1	3485	15.8%
0	3141	14.2%
2	2641	11.9%
4	2366	10.7%
3	2343	10.6%
5	1861	8.4%
6	1593	7.2%
9	1582	7.1%
7	1577	7.1%
8	1537	6.9%

Other Punctuation

Value	Count	Frequency (%)
/	699	98.0%
?	12	1.7%
.	1	0.1%
:	1	0.1%

Control

Value	Count	Frequency (%)
	2	66.7%
	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	430	100.0%

Space Separator

Value	Count	Frequency (%)
	136	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23410	97.6%
Latin	582	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	125	21.5%
B	65	11.2%
C	62	10.7%
S	55	9.5%
T	45	7.7%
H	32	5.5%
U	26	4.5%
N	20	3.4%
G	20	3.4%
D	17	2.9%
Other values (14)	115	19.8%

Common

Value	Count	Frequency (%)
1	3485	14.9%
0	3141	13.4%
2	2641	11.3%
4	2366	10.1%
3	2343	10.0%
5	1861	7.9%
6	1593	6.8%
9	1582	6.8%
7	1577	6.7%
8	1537	6.6%
Other values (10)	1284	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23992	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3485	14.5%
0	3141	13.1%
2	2641	11.0%
4	2366	9.9%
3	2343	9.8%
5	1861	7.8%
6	1593	6.6%
9	1582	6.6%
7	1577	6.6%
8	1537	6.4%
Other values (34)	1866	7.8%

All Aboard
Real number (ℝ)

Distinct	244
Distinct (%)	4.9%
Missing	17
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	31.121218

Minimum	0
Maximum	644
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	7
median	16
Q3	35
95-th percentile	117.5
Maximum	644
Range	644
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	45.479965
Coefficient of variation (CV)	1.4613812
Kurtosis	23.9531
Mean	31.121218
Median Absolute Deviation (MAD)	11
Skewness	3.9209027
Sum	155326
Variance	2068.4272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	280	5.6%
2	246	4.9%
4	202	4.0%
5	190	3.8%
10	179	3.6%
6	174	3.5%
7	164	3.3%
1	139	2.8%
9	130	2.6%
11	128	2.6%
Other values (234)	3159	63.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
1	139	2.8%
2	246	4.9%
3	280	5.6%
4	202	4.0%
5	190	3.8%
6	174	3.5%
7	164	3.3%
8	119	2.4%
9	130	2.6%

Value	Count	Frequency (%)
644	1	< 0.1%
524	1	< 0.1%
517	1	< 0.1%
394	1	< 0.1%
393	1	< 0.1%
384	1	< 0.1%
356	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
340	1	< 0.1%

Passengers Board
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	234
Distinct (%)	4.9%
Missing	221
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	26.877376

Minimum	0
Maximum	614
Zeros	869
Zeros (%)	17.4%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	12
Q3	30
95-th percentile	111.7
Maximum	614
Range	614
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	44.035342
Coefficient of variation (CV)	1.6383795
Kurtosis	24.184745
Mean	26.877376
Median Absolute Deviation (MAD)	11
Skewness	3.9364199
Sum	128662
Variance	1939.1114
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	869	17.4%
4	170	3.4%
2	162	3.2%
5	140	2.8%
7	130	2.6%
3	130	2.6%
10	128	2.6%
9	128	2.6%
8	126	2.5%
1	120	2.4%
Other values (224)	2684	53.6%
(Missing)	221	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	869	17.4%
1	120	2.4%
2	162	3.2%
3	130	2.6%
4	170	3.4%
5	140	2.8%
6	109	2.2%
7	130	2.6%
8	126	2.5%
9	128	2.6%

Value	Count	Frequency (%)
614	1	< 0.1%
509	1	< 0.1%
503	1	< 0.1%
381	1	< 0.1%
374	1	< 0.1%
364	1	< 0.1%
338	1	< 0.1%
335	1	< 0.1%
327	1	< 0.1%
316	1	< 0.1%

Crew Board
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	34
Distinct (%)	0.7%
Missing	219
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.5195239

Minimum	0
Maximum	83
Zeros	7
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	83
Range	83
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.7580719
Coefficient of variation (CV)	0.83151942
Kurtosis	62.869559
Mean	4.5195239
Median Absolute Deviation (MAD)	2
Skewness	4.9609299
Sum	21644
Variance	14.123105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
3	954	19.0%
2	828	16.5%
4	694	13.9%
1	535	10.7%
5	514	10.3%
6	375	7.5%
7	244	4.9%
8	173	3.5%
9	115	2.3%
10	94	1.9%
Other values (24)	263	5.3%
(Missing)	219	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.1%
1	535	10.7%
2	828	16.5%
3	954	19.0%
4	694	13.9%
5	514	10.3%
6	375	7.5%
7	244	4.9%
8	173	3.5%
9	115	2.3%

Value	Count	Frequency (%)
83	1	< 0.1%
61	1	< 0.1%
49	1	< 0.1%
43	1	< 0.1%
41	1	< 0.1%
33	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
27	1	< 0.1%
25	4	0.1%

All Fatalities
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	199
Distinct (%)	4.0%
Missing	8
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	22.294

Minimum	0
Maximum	583
Zeros	76
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	11
Q3	25
95-th percentile	85
Maximum	583
Range	583
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	35.000385
Coefficient of variation (CV)	1.5699464
Kurtosis	36.856285
Mean	22.294
Median Absolute Deviation (MAD)	9
Skewness	4.6222207
Sum	111470
Variance	1225.027
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	384	7.7%
2	377	7.5%
3	363	7.2%
4	242	4.8%
5	235	4.7%
6	176	3.5%
7	160	3.2%
10	159	3.2%
13	132	2.6%
9	128	2.6%
Other values (189)	2644	52.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	76	1.5%
1	384	7.7%
2	377	7.5%
3	363	7.2%
4	242	4.8%
5	235	4.7%
6	176	3.5%
7	160	3.2%
8	128	2.6%
9	128	2.6%

Value	Count	Frequency (%)
583	1	< 0.1%
520	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
329	1	< 0.1%
301	1	< 0.1%
298	1	< 0.1%
290	1	< 0.1%
275	1	< 0.1%
271	1	< 0.1%

Passenger Fatalities
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	190
Distinct (%)	4.0%
Missing	235
Missing (%)	4.7%
Infinite	0
Infinite (%)	0.0%
Mean	18.940708

Minimum	0
Maximum	560
Zeros	1040
Zeros (%)	20.8%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	7
Q3	21
95-th percentile	81
Maximum	560
Range	560
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	34.06519
Coefficient of variation (CV)	1.7985172
Kurtosis	36.950994
Mean	18.940708
Median Absolute Deviation (MAD)	7
Skewness	4.6462228
Sum	90404
Variance	1160.4372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1040	20.8%
1	308	6.2%
2	263	5.3%
3	193	3.9%
4	185	3.7%
5	139	2.8%
6	133	2.7%
7	126	2.5%
8	126	2.5%
9	118	2.4%
Other values (180)	2142	42.8%
(Missing)	235	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1040	20.8%
1	308	6.2%
2	263	5.3%
3	193	3.9%
4	185	3.7%
5	139	2.8%
6	133	2.7%
7	126	2.5%
8	126	2.5%
9	118	2.4%

Value	Count	Frequency (%)
560	1	< 0.1%
505	1	< 0.1%
335	1	< 0.1%
316	1	< 0.1%
307	1	< 0.1%
287	1	< 0.1%
283	1	< 0.1%
278	1	< 0.1%
258	1	< 0.1%
257	1	< 0.1%

Crew fatalities
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	28
Distinct (%)	0.6%
Missing	235
Missing (%)	4.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.5872617

Minimum	0
Maximum	43
Zeros	400
Zeros (%)	8.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	9
Maximum	43
Range	43
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.1773146
Coefficient of variation (CV)	0.88572145
Kurtosis	12.865271
Mean	3.5872617
Median Absolute Deviation (MAD)	2
Skewness	2.4985213
Sum	17122
Variance	10.095328
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
2	892	17.8%
3	824	16.5%
1	771	15.4%
4	591	11.8%
5	402	8.0%
0	400	8.0%
6	273	5.5%
7	171	3.4%
8	130	2.6%
9	87	1.7%
Other values (18)	232	4.6%
(Missing)	235	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	400	8.0%
1	771	15.4%
2	892	17.8%
3	824	16.5%
4	591	11.8%
5	402	8.0%
6	273	5.5%
7	171	3.4%
8	130	2.6%
9	87	1.7%

Value	Count	Frequency (%)
43	1	< 0.1%
33	1	< 0.1%
27	1	< 0.1%
25	2	< 0.1%
23	6	0.1%
22	5	0.1%
21	2	< 0.1%
20	3	0.1%
19	5	0.1%
18	3	0.1%

Ground
Real number (ℝ)

SKEWED ZEROS

Distinct	51
Distinct (%)	1.0%
Missing	44
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.7183723

Minimum	0
Maximum	2750
Zeros	4716
Zeros (%)	94.2%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	2750
Range	2750
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	55.495544
Coefficient of variation (CV)	32.295414
Kurtosis	2423.809
Mean	1.7183723
Median Absolute Deviation (MAD)	0
Skewness	48.986786
Sum	8530
Variance	3079.7554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4716	94.2%
1	63	1.3%
2	34	0.7%
3	21	0.4%
4	16	0.3%
5	12	0.2%
7	10	0.2%
8	9	0.2%
10	6	0.1%
6	6	0.1%
Other values (41)	71	1.4%
(Missing)	44	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4716	94.2%
1	63	1.3%
2	34	0.7%
3	21	0.4%
4	16	0.3%
5	12	0.2%
6	6	0.1%
7	10	0.2%
8	9	0.2%
9	1	< 0.1%

Value	Count	Frequency (%)
2750	2	< 0.1%
225	1	< 0.1%
125	2	< 0.1%
113	1	< 0.1%
87	1	< 0.1%
85	1	< 0.1%
78	1	< 0.1%
71	1	< 0.1%
63	1	< 0.1%
58	1	< 0.1%

Summary
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	4857
Distinct (%)	98.1%
Missing	59
Missing (%)	1.2%
Memory size	1.4 MiB

Crashed under unknown circumstances.	9
Crashed while en route.	8
Crashed while attempting to land.	7
Crashed during takeoff.	6
Crashed into the sea.	5
Other values (4852)	4914

Length

Max length	2669
Median length	787
Mean length	223.39382
Min length	8

Characters and Unicode

Total characters	1105576
Distinct characters	101
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4813 ?
Unique (%)	97.3%

Sample

1st row	During a demonstration flight, a U.S. Army flyer flown by Orville Wright nose-dived into the ground from a height of approximately 75 feet, killing Lt. Thomas E. Selfridge, 26, who was a passenger. This was the first recorded airplane fatality in history. One of two propellers separated in flight, tearing loose the wires bracing the rudder and causing the loss of control of the aircraft. Orville Wright suffered broken ribs, pelvis and a leg. Selfridge suffered a crushed skull and died a short time later.
2nd row	Eugene Lefebvre was the first pilot to ever be killed in an air accident, after his controls jambed while flying in an air show.
3rd row	First U.S. dirigible Akron exploded just offshore at an altitude of 1,000 ft. during a test flight.
4th row	The first fatal airplane accident in Canada occurred when American barnstormer, John M. Bryant, California aviator was killed.
5th row	The airship flew into a thunderstorm and encountered a severe downdraft crashing 20 miles north of Helgoland Island into the sea. The ship broke in two and the control car immediately sank drowning its occupants.

Common Values

Value	Count	Frequency (%)
Crashed under unknown circumstances.	9	0.2%
Crashed while en route.	8	0.2%
Crashed while attempting to land.	7	0.1%
Crashed during takeoff.	6	0.1%
Crashed into the sea.	5	0.1%
Crashed shortly after taking off.	5	0.1%
Crashed on takeoff.	4	0.1%
Shot down by rebel forces.	4	0.1%
Crashed under unknown circumstances	4	0.1%
Crashed en route.	4	0.1%
Other values (4847)	4893	97.7%
(Missing)	59	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	18463	10.1%
of	5544	3.0%
a	5456	3.0%
and	5444	3.0%
to	5429	3.0%
in	3682	2.0%
crashed	3386	1.8%
was	2779	1.5%
aircraft	2557	1.4%
into	2360	1.3%
Other values (11568)	127976	69.9%

Most occurring characters

Value	Count	Frequency (%)
	179362	16.2%
e	104905	9.5%
t	81905	7.4%
a	79924	7.2%
n	68116	6.2%
i	65870	6.0%
r	63437	5.7%
o	62600	5.7%
h	42794	3.9%
s	39810	3.6%
Other values (91)	316853	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	869373	78.6%
Space Separator	179369	16.2%
Uppercase Letter	25294	2.3%
Other Punctuation	20624	1.9%
Decimal Number	8853	0.8%
Dash Punctuation	1645	0.1%
Close Punctuation	158	< 0.1%
Open Punctuation	140	< 0.1%
Final Punctuation	67	< 0.1%
Control	33	< 0.1%
Other values (4)	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	104905	12.1%
t	81905	9.4%
a	79924	9.2%
n	68116	7.8%
i	65870	7.6%
r	63437	7.3%
o	62600	7.2%
h	42794	4.9%
s	39810	4.6%
d	38411	4.4%
Other values (30)	221601	25.5%

Uppercase Letter

Value	Count	Frequency (%)
T	5796	22.9%
C	2775	11.0%
A	2579	10.2%
S	1531	6.1%
F	1286	5.1%
M	1207	4.8%
I	1063	4.2%
P	960	3.8%
W	924	3.7%
N	861	3.4%
Other values (16)	6312	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	13487	65.4%
,	5721	27.7%
'	771	3.7%
"	362	1.8%
/	170	0.8%
:	56	0.3%
;	34	0.2%
&	17	0.1%
%	3	< 0.1%
#	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	2668	30.1%
1	1368	15.5%
2	1042	11.8%
5	830	9.4%
3	820	9.3%
4	578	6.5%
6	432	4.9%
7	416	4.7%
8	386	4.4%
9	313	3.5%

Space Separator

Value	Count	Frequency (%)
	179362	> 99.9%
	7	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	157	99.4%
]	1	0.6%

Open Punctuation

Value	Count	Frequency (%)
(	139	99.3%
[	1	0.7%

Control

Value	Count	Frequency (%)
	32	97.0%
	1	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1645	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	67	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	7	100.0%

Other Symbol

Value	Count	Frequency (%)
°	3	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	894667	80.9%
Common	210909	19.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	104905	11.7%
t	81905	9.2%
a	79924	8.9%
n	68116	7.6%
i	65870	7.4%
r	63437	7.1%
o	62600	7.0%
h	42794	4.8%
s	39810	4.4%
d	38411	4.3%
Other values (56)	246895	27.6%

Common

Value	Count	Frequency (%)
	179362	85.0%
.	13487	6.4%
,	5721	2.7%
0	2668	1.3%
-	1645	0.8%
1	1368	0.6%
2	1042	0.5%
5	830	0.4%
3	820	0.4%
'	771	0.4%
Other values (25)	3195	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1105434	> 99.9%
None	72	< 0.1%
Punctuation	70	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	179362	16.2%
e	104905	9.5%
t	81905	7.4%
a	79924	7.2%
n	68116	6.2%
i	65870	6.0%
r	63437	5.7%
o	62600	5.7%
h	42794	3.9%
s	39810	3.6%
Other values (73)	316711	28.7%

Punctuation

Value	Count	Frequency (%)
’	67	95.7%
‘	3	4.3%

None

Value	Count	Frequency (%)
é	20	27.8%
á	15	20.8%
í	8	11.1%
	7	9.7%
ó	3	4.2%
°	3	4.2%
ö	3	4.2%
ã	2	2.8%
â	2	2.8%
ü	2	2.8%
Other values (6)	7	9.7%

Country
Categorical

Distinct	486
Distinct (%)	9.7%
Missing	5
Missing (%)	0.1%
Memory size	372.3 KiB

United States of America	1009
Russia	253
Brazil	174
Colombia	151
Canada	127
Other values (481)	3289

Length

Max length	41
Median length	37
Mean length	11.139316
Min length	2

Characters and Unicode

Total characters	55730
Distinct characters	71
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	272 ?
Unique (%)	5.4%

Sample

1st row	United States of America
2nd row	France
3rd row	United States of America
4th row	Canada
5th row	Over the North Sea

Common Values

Value	Count	Frequency (%)
United States of America	1009	20.1%
Russia	253	5.1%
Brazil	174	3.5%
Colombia	151	3.0%
Canada	127	2.5%
France	123	2.5%
India	103	2.1%
England	101	2.0%
Indonesia	99	2.0%
China	94	1.9%
Other values (476)	2769	55.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	1036	11.7%
united	1027	11.6%
states	1010	11.4%
america	1009	11.4%
russia	255	2.9%
brazil	174	2.0%
colombia	151	1.7%
canada	131	1.5%
france	125	1.4%
india	106	1.2%
Other values (459)	3806	43.1%

Most occurring characters

Value	Count	Frequency (%)
a	6678	12.0%
e	5060	9.1%
i	4775	8.6%
t	4023	7.2%
	3832	6.9%
n	3683	6.6%
o	2601	4.7%
r	2552	4.6%
s	2267	4.1%
d	1911	3.4%
Other values (61)	18348	32.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	43843	78.7%
Uppercase Letter	7977	14.3%
Space Separator	3832	6.9%
Other Punctuation	39	0.1%
Decimal Number	13	< 0.1%
Close Punctuation	9	< 0.1%
Dash Punctuation	8	< 0.1%
Open Punctuation	7	< 0.1%
Control	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6678	15.2%
e	5060	11.5%
i	4775	10.9%
t	4023	9.2%
n	3683	8.4%
o	2601	5.9%
r	2552	5.8%
s	2267	5.2%
d	1911	4.4%
c	1695	3.9%
Other values (20)	8598	19.6%

Uppercase Letter

Value	Count	Frequency (%)
S	1509	18.9%
A	1368	17.1%
U	1140	14.3%
C	588	7.4%
I	443	5.6%
R	425	5.3%
B	309	3.9%
P	283	3.5%
N	268	3.4%
G	237	3.0%
Other values (15)	1407	17.6%

Decimal Number

Value	Count	Frequency (%)
1	3	23.1%
0	3	23.1%
5	2	15.4%
2	2	15.4%
7	1	7.7%
8	1	7.7%
3	1	7.7%

Other Punctuation

Value	Count	Frequency (%)
,	19	48.7%
.	18	46.2%
&	1	2.6%
:	1	2.6%

Space Separator

Value	Count	Frequency (%)
	3832	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	51820	93.0%
Common	3910	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6678	12.9%
e	5060	9.8%
i	4775	9.2%
t	4023	7.8%
n	3683	7.1%
o	2601	5.0%
r	2552	4.9%
s	2267	4.4%
d	1911	3.7%
c	1695	3.3%
Other values (45)	16575	32.0%

Common

Value	Count	Frequency (%)
	3832	98.0%
,	19	0.5%
.	18	0.5%
)	9	0.2%
-	8	0.2%
(	7	0.2%
1	3	0.1%
0	3	0.1%
5	2	0.1%
2	2	0.1%
Other values (6)	7	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	55724	> 99.9%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6678	12.0%
e	5060	9.1%
i	4775	8.6%
t	4023	7.2%
	3832	6.9%
n	3683	6.6%
o	2601	4.7%
r	2552	4.6%
s	2267	4.1%
d	1911	3.4%
Other values (57)	18342	32.9%

None

Value	Count	Frequency (%)
é	3	50.0%
è	1	16.7%
ó	1	16.7%
ã	1	16.7%

Hour
Real number (ℝ)

MISSING ZEROS

Distinct	24
Distinct (%)	0.7%
Missing	1504
Missing (%)	30.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.657534

Minimum	0
Maximum	23
Zeros	74
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	8
median	13
Q3	17
95-th percentile	22
Maximum	23
Range	23
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.9909305
Coefficient of variation (CV)	0.47330944
Kurtosis	-0.76365172
Mean	12.657534
Median Absolute Deviation (MAD)	4.5
Skewness	-0.20985031
Sum	44352
Variance	35.891248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
11	212	4.2%
9	207	4.1%
15	202	4.0%
14	201	4.0%
10	201	4.0%
19	194	3.9%
13	185	3.7%
16	184	3.7%
12	180	3.6%
17	180	3.6%
Other values (14)	1558	31.1%
(Missing)	1504	30.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	74	1.5%
1	84	1.7%
2	85	1.7%
3	63	1.3%
4	83	1.7%
5	62	1.2%
6	98	2.0%
7	156	3.1%
8	180	3.6%
9	207	4.1%

Value	Count	Frequency (%)
23	120	2.4%
22	122	2.4%
21	105	2.1%
20	163	3.3%
19	194	3.9%
18	163	3.3%
17	180	3.6%
16	184	3.7%
15	202	4.0%
14	201	4.0%

Month
Categorical

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	348.6 KiB

December	496
January	460
September	451
August	451
November	439
Other values (7)	2711

Length

Max length	9
Median length	7
Mean length	6.2789537
Min length	3

Characters and Unicode

Total characters	31445
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	September
2nd row	September
3rd row	July
4th row	August
5th row	September

Common Values

Value	Count	Frequency (%)
December	496	9.9%
January	460	9.2%
September	451	9.0%
August	451	9.0%
November	439	8.8%
October	427	8.5%
March	426	8.5%
July	425	8.5%
June	366	7.3%
February	360	7.2%
Other values (2)	707	14.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
december	496	9.9%
january	460	9.2%
september	451	9.0%
august	451	9.0%
november	439	8.8%
october	427	8.5%
march	426	8.5%
july	425	8.5%
june	366	7.3%
february	360	7.2%
Other values (2)	707	14.1%

Most occurring characters

Value	Count	Frequency (%)
e	4872	15.5%
r	3767	12.0%
u	2513	8.0%
b	2173	6.9%
a	2065	6.6%
y	1604	5.1%
m	1386	4.4%
c	1349	4.3%
t	1329	4.2%
J	1251	4.0%
Other values (16)	9136	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26437	84.1%
Uppercase Letter	5008	15.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4872	18.4%
r	3767	14.2%
u	2513	9.5%
b	2173	8.2%
a	2065	7.8%
y	1604	6.1%
m	1386	5.2%
c	1349	5.1%
t	1329	5.0%
o	866	3.3%
Other values (8)	4513	17.1%

Uppercase Letter

Value	Count	Frequency (%)
J	1251	25.0%
A	799	16.0%
M	785	15.7%
D	496	9.9%
S	451	9.0%
N	439	8.8%
O	427	8.5%
F	360	7.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31445	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4872	15.5%
r	3767	12.0%
u	2513	8.0%
b	2173	6.9%
a	2065	6.6%
y	1604	5.1%
m	1386	4.4%
c	1349	4.3%
t	1329	4.2%
J	1251	4.0%
Other values (16)	9136	29.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31445	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4872	15.5%
r	3767	12.0%
u	2513	8.0%
b	2173	6.9%
a	2065	6.6%
y	1604	5.1%
m	1386	4.4%
c	1349	4.3%
t	1329	4.2%
J	1251	4.0%
Other values (16)	9136	29.1%

Auto

Heatmap
Table

	All Aboard	Passengers Board	Crew Board	All Fatalities	Passenger Fatalities	Crew fatalities	Ground	Hour	Month
All Aboard	1.000	0.966	0.667	0.745	0.781	0.369	0.039	0.027	0.000
Passengers Board	0.966	1.000	0.503	0.708	0.819	0.232	0.021	0.031	0.000
Crew Board	0.667	0.503	1.000	0.522	0.379	0.689	0.099	-0.006	0.004
All Fatalities	0.745	0.708	0.522	1.000	0.940	0.681	-0.007	0.025	0.000
Passenger Fatalities	0.781	0.819	0.379	0.940	1.000	0.457	-0.025	0.026	0.000
Crew fatalities	0.369	0.232	0.689	0.681	0.457	1.000	0.041	-0.003	0.000
Ground	0.039	0.021	0.099	-0.007	-0.025	0.041	1.000	-0.022	0.043
Hour	0.027	0.031	-0.006	0.025	0.026	-0.003	-0.022	1.000	0.010
Month	0.000	0.000	0.004	0.000	0.000	0.000	0.043	0.010	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Date	Time	Location	Operator	flight_no	Route	Ac Type	Registration	cn_ln	All Aboard	Passengers Board	Crew Board	All Fatalities	Passenger Fatalities	Crew fatalities	Summary	Country	Hour	Month
0	1908-09-17	17:18:00	Fort Myer, Virginia	Military - U.S. Army	NaN	Demonstration	Wright Flyer III	NaN	1	2.0	1.0	1.0	1.0	1.0	0.0	During a demonstration flight, a U.S. Army flyer flown by Orville Wright nose-dived into the ground from a height of approximately 75 feet, killing Lt. Thomas E. Selfridge, 26, who was a passenger. This was the first recorded airplane fatality in history. One of two propellers separated in flight, tearing loose the wires bracing the rudder and causing the loss of control of the aircraft. Orville Wright suffered broken ribs, pelvis and a leg. Selfridge suffered a crushed skull and died a short time later.	United States of America	17.0	September
1	1909-09-07	NaT	Juvisy-sur-Orge, France	NaN	NaN	Air show	Wright Byplane	SC1	NaN	1.0	0.0	1.0	1.0	0.0	0.0	Eugene Lefebvre was the first pilot to ever be killed in an air accident, after his controls jambed while flying in an air show.	France	NaN	September
2	1912-07-12	06:30:00	Atlantic City, New Jersey	Military - U.S. Navy	NaN	Test flight	Dirigible	NaN	NaN	5.0	0.0	5.0	5.0	0.0	5.0	First U.S. dirigible Akron exploded just offshore at an altitude of 1,000 ft. during a test flight.	United States of America	6.0	July
3	1913-08-06	NaT	Victoria, British Columbia, Canada	Private	NaN	NaN	Curtiss seaplane	NaN	NaN	1.0	0.0	1.0	1.0	0.0	1.0	The first fatal airplane accident in Canada occurred when American barnstormer, John M. Bryant, California aviator was killed.	Canada	NaN	August
4	1913-09-09	18:30:00	Over the North Sea	Military - German Navy	NaN	NaN	Zeppelin L-1 (airship)	NaN	NaN	20.0	NaN	NaN	14.0	NaN	NaN	The airship flew into a thunderstorm and encountered a severe downdraft crashing 20 miles north of Helgoland Island into the sea. The ship broke in two and the control car immediately sank drowning its occupants.	Over the North Sea	18.0	September
5	1913-10-17	10:30:00	Near Johannisthal, Germany	Military - German Navy	NaN	NaN	Zeppelin L-2 (airship)	NaN	NaN	28.0	NaN	NaN	28.0	NaN	NaN	Hydrogen gas which was being vented was sucked into the forward engine and ignited causing the airship to explode and burn at 3,000 ft..German Navy's Zeppelin airships L-4 and L-5 were blown out to sea in February 1915, never to be seen again.	Germany	10.0	October
6	1915-03-05	01:00:00	Tienen, Belgium	Military - German Navy	NaN	NaN	Zeppelin L-8 (airship)	NaN	NaN	41.0	0.0	41.0	17.0	0.0	17.0	Crashed into trees while attempting to land after being shot down by British and French aircraft.	Belgium	1.0	March
7	1915-09-03	15:20:00	Off Cuxhaven, Germany	Military - German Navy	NaN	NaN	Zeppelin L-10 (airship)	NaN	NaN	19.0	NaN	NaN	19.0	NaN	NaN	Exploded and burned near Neuwerk Island, when hydrogen gas, being vented, was ignited by lightning.	Germany	15.0	September
8	1916-07-28	NaT	Near Jambol, Bulgeria	Military - German Army	NaN	NaN	Schutte-Lanz S-L-10 (airship)	NaN	NaN	20.0	NaN	NaN	20.0	NaN	NaN	Crashed near the Black Sea, cause unknown.	Bulgeria	NaN	July
9	1916-09-24	01:00:00	Billericay, England	Military - German Navy	NaN	NaN	Zeppelin L-32 (airship)	NaN	NaN	22.0	NaN	NaN	22.0	NaN	NaN	Shot down by British aircraft crashing in flames.	England	1.0	September

	Date	Time	Location	Operator	flight_no	Route	Ac Type	Registration	cn_ln	All Aboard	Passengers Board	Crew Board	All Fatalities	Passenger Fatalities	Crew fatalities	Ground	Summary	Country	Hour	Month
4998	2020-08-07	19:14:00	Calicut, India	Air India Exppress	IX344	Dubai - Calicut	Boeing 737-8HG	VT-AXH	36323/2108	190.0	184.0	6.0	20.0	18.0	2.0	0.0	The flight IX344 suffered a runway excursion while landing at Kozhikode-Calicut Airport in heavy rain. The nose section separated from the fuselage after going down a steep slope at the end of the runway. The pilot and copilot were among the dead. Low visibility, wet runway, low cloud base and poor braking action possibly contributed to the accident.	India	19.0	August
4999	2020-08-22	08:40:00	Juba, South Sudan	South West Aviaiton	NaN	Juba - Wau	Antonov 26B	EX-126	11508	8.0	5.0	3.0	7.0	4.0	3.0	0.0	The cargo plane lost height shortly after departure from Juba Airport and impacted a farm near Hai Referendum about 3nm southwest of the airport. One passenger survived in critical condition. The plane was chartered by the World Food Program to transport supplies and wages to Wau and Aweil.	South Sudan	8.0	August
5000	2020-09-25	20:50:00	Near Chuguev, Ukraine	Military - Ukraine Air Force	NaN	Training	Antonov An26SH	76 yellow	5608	27.0	20.0	7.0	26.0	19.0	7.0	0.0	The military transport, crashed 1.2 miles from Chuguev air base. The plane was carrying cadets from a nearby air force university on a training flight. The crew may have reported failure of an engine prior to the accident.	Ukraine	20.0	September
5001	2021-01-09	14:40:00	Near Jakarta, Indonesia	Sriwijaya Air	SJ182	Jakarta - Pontianak	Boeing 737-524	PK-CLC	27323/2616	62.0	56.0	6.0	62.0	56.0	6.0	0.0	Sriwijaya Air flight 182 was climbing through 10,900 ft., 11 nm north of Jakarta-Soekarno-Hatta International Airport, over the Java Sea when radar and radio contact was lost. The aircraft then lost height rapidly and impacted the Java Sea. Debris was located near Lancang Island.	Indonesia	14.0	January
5002	2021-03-02	17:05:00	Pieri, Sudan	South Sudan Supreme Airlines	NaN	Pieri - Yuai	Let L-410UVP-E	HK-4274	902525	10.0	8.0	2.0	10.0	8.0	2.0	0.0	One of the engines on the aircraft failed 10 minutes after takeof. When the plane turned back, the second engine failed.	Sudan	17.0	March
5003	2021-03-28	18:35:00	Near Butte, Alaska	Soloy Helicopters	NaN	Sightseeing Charter	Eurocopter AS350B3 Ecureuil	N351SH	4598	6.0	5.0	1.0	5.0	4.0	1.0	0.0	The sightseeing helicopter crashed after missing the top of a 6,000 ft mountain by just 10 - 15 ft. The crash site was near Knik glacier. The pilot, and four others were killed including Czech billionaire Petr Kellner.	United States of America	18.0	March
5004	2021-05-21	18:00:00	Near Kaduna, Nigeria	Military - Nigerian Air Force	NaN	NaN	Beechcraft B300 King Air 350i	NAF203	FL-891	11.0	7.0	4.0	11.0	7.0	4.0	0.0	While on final approach, in poor weather conditions, the aircraft crashed and burst into flames less than 10 km from Kaduna Airport. All 11 occupants were killed, incuding General Ibrahim Attahiru, Chief of Staff of the Nigerian Army.	Nigeria	18.0	May
5005	2021-06-10	08:00:00	Near Pyin Oo Lwin, Myanmar	Military - Myanmar Air Force	NaN	Naypyidaw - Anisakan	Beechcraft 1900D	4610	E-325	14.0	12.0	2.0	12.0	11.0	1.0	0.0	The plane was carrying military personnel and monks when it crashed about 300 meters from a steel plant in the Mandalay region. The plane was attempting to land in poor weather conditions and broke into three pieces.	Myanmar	8.0	June
5006	2021-07-04	11:30:00	Patikul, Sulu, Philippines	Military - Philippine Air Force	NaN	Cagayan de Oro-Lumbia - Jolo	Lockheed C-130H Hercules	5125	5125	96.0	88.0	8.0	50.0	NaN	NaN	3.0	While attempting to land at Jolo Airport, the military transport overran the runway, struck two houses and burst into flames coming to rest on a coconut plantation.	Philippines	11.0	July
5007	2021-07-06	15:00:00	Palana, Russia	Kamchatka Aviation Enterprise	251	Petropavlovsk - Palana	Antonov An 26B-100	RA-26085	12310	28.0	22.0	6.0	28.0	22.0	6.0	0.0	The passenger plane crashed into the top of a cliff while attempting to land in inclement weather. The debris fell into the sea. Contact was lost with the plane 10 minutes before it was to land.	Russia	15.0	July

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Control

Dash Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Control

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Lowercase Letter

Other Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Control

Final Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts